To unlock this feature and to subscribe to our weekly evidence emails, please create a FREE orthoEvidence account.

SIGNUP

Already Have an Account?

Loading...
Visit our Evidence-Based Covid-19 Website and Stay Up to Date with the latest Research.
Ace Report Cover

WCO-IOF: Similar efficacy & safety of low and intermediate MW hyaluronic acid for knee OA

Download
Share
Reprints
Cite This
About
+ Favorites
Share
Reprints
Cite This
About
+ Favorites
Ace Report Cover
April 2014

WCO-IOF: Similar efficacy & safety of low and intermediate MW hyaluronic acid for knee OA

Vol: 3| Issue: 4| Number:58| ISSN#: 2564-2537
Study Type:Randomized Trial
OE Level Evidence:N/A
Journal Level of Evidence:N/A

Early efficacy and safety of hyaluronic acid of different molecular weights in knee osteoarthritis

Contributing Authors:
NV Vaskova

Did you know you're eligible to earn 0.5 CME credits for reading this report? Click Here

CONFERENCE ACE REPORTS

This ACE Report is a summary of a conference presentation or abstract. The information provided has limited the ability to provide an accurate assessment of the risk of bias or the overall quality. Please interpret the results with caution as trials may be in progress and select results may have been presented.

Synopsis

50 patients with knee osteoarthritis were randomized to receive intra-articular injections of intermediate molecular weight (Rusvisk) or low molecular weight (Ostenil) hyaluronic acid to compare the efficacy and safety between the two therapies. Upon analysis, results revealed that hyaluronic acid therapies of differing molecular weights did not significantly differ in terms of weight bearing pain...

CME Image

Did you know that you’re eligible to earn 0.5 CME credits for reading this report!

LEARN MORE

Join the Conversation

Please Login or Join to leave comments.

Learn about our AI Driven
High Impact Search Feature

High Impact Icon

Our AI driven High Impact metric calculates the impact an article will have by considering both the publishing journal and the content of the article itself. Built using the latest advances in natural language processing, OE High Impact predicts an article’s future number of citations better than impact factor alone.

Continue